DBMS > c-treeACE vs. ObjectBox vs. PouchDB vs. SQLite

System Properties Comparison c-treeACE vs. ObjectBox vs. PouchDB vs. SQLite

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Editorial information provided by DB-Engines

Name

Description

High speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.

Extremely fast embedded database for small devices, IoT and Mobile

JavaScript DBMS with an API inspired by CouchDB

Widely used in-process RDBMS

Primary database model

Key-value store
Relational DBMS

Object oriented DBMS

Document store

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.54
Rank	#214	Overall
	#38	Key-value stores
	#102	Relational DBMS

Score	0.64
Rank	#198	Overall
	#11	Object oriented DBMS

Score	3.20
Rank	#89	Overall
	#16	Document stores

Score	127.45
Rank	#9	Overall
	#6	Relational DBMS

Website

www.faircom.com/-products/-c-treeace

objectbox.io

pouchdb.com

www.sqlite.org

Technical documentation

learn.faircomcorp.com/developers/documentation_directory

docs.objectbox.io

pouchdb.com/guides

www.sqlite.org/docs.html

Developer

FairCom Corporation

ObjectBox Limited

Apache Software Foundation

Dwayne Richard Hipp

Initial release

1979

2017

2012

2000

Current release

V11.5, November 2017

7.1.1, June 2019

3.32.2 (June 4, 2020), June 2020

License

Commercial or Open Source

commercial info

Restricted, free version available

Open Source info

Apache License 2.0

Open Source

Open Source info

Public Domain

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

ANSI C, C++

C and C++

JavaScript

Server operating systems

AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows info

easily portable to other OSs

Android
iOS
Linux
macOS
Windows

server-less, requires a JavaScript environment (browser, Node.js)

server-less

Data scheme

Flexible Schema (defined schema, partial schema, schema free)

yes

schema-free

yes

dynamic column types

Typing

predefined data types such as float or date

yes, ANSI Standard SQL Types

yes

not rigid because of 'dynamic typing' concept.

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

via views

yes

SQL

Support of SQL

yes

ANSI SQL queries

yes

SQL-92 is not fully supported

APIs and other access methods

ADO.NET
Direct SQL
JDBC
ODBC
RESTful HTTP API

Proprietary native API

HTTP REST

only for PouchDB Server
JavaScript API

ADO.NET

inofficial driver
JDBC info

inofficial driver
ODBC info

inofficial driver

Supported programming languages

.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic

C
Go
Java
JavaScript info

planned (as of Jan 2019)
Python info

planned (as of Jan 2019)
Swift

JavaScript

Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl

Server-side scripts info

Stored procedures

yes

.Net, JavaScript, C/C++

View functions in JavaScript

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

File partitioning, horizontal partitioning, sharding info

Customizable business rules for table partitioning

none

Sharding

with a proxy-based framework, named couchdb-lounge

none

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Synchronous and asynchronous realtime replication based on transaction logs

none

Master-master replication info

also with CouchDB databases
Master-slave replication info

also with CouchDB databases

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency
Tunable Consistency

Immediate Consistency

Eventual Consistency

Foreign keys info

Referential integrity

yes

when using SQL

yes

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency info

Support for concurrent manipulation of data

yes

across SQL and NoSQL

yes

via file-system locks

Durability info

Support for making data persistent

yes

by using IndexedDB, WebSQL or LevelDB as backend

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts info

Access control

Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

yes

More information provided by the system vendor

Specific characteristics

Speed, reliability and consistency are the reasons businesses choose FairComâ€™s c-treeACE...
» more

Competitive advantages

Top Features High-speed transaction processing Immediately consistent, ACID-compliant,...
» more

Typical application scenarios

c-treeACE speed, reliability, and flexibility are direct reasons this technology...
» more

Key customers

VISA, UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more

Market metrics

From banking and financial transactions, transportation, warehouse automation, package...
» more

Licensing and pricing models

Just as the technical aspects of c-treeACE are flexible to meet operation requirements,...
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News

Time Series & Objects: Using Data on the Edge
30 June 2020

Introducing: ObjectBox Generator, plus C++ API [Request for Feedback!]
16 June 2020

Why Edge Computing is More Relevant in 2020 Than Ever
29 April 2020

Why do we need Edge Computing for a sustainable future?
15 April 2020

Connecting database performance and business value – a fast edge database is a money saver
20 February 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.